NDLI: Large Discriminative Structured Set Prediction Modeling With Max-Margin Markov Network for Lossless Image Coding

Content Provider	IEEE Xplore Digital Library
Author	Wenrui Dai Hongkai Xiong Jia Wang Zheng, Y.F.
Copyright Year	1992
Abstract	Inherent statistical correlation for context-based prediction and structural interdependencies for local coherence is not fully exploited in existing lossless image coding schemes. This paper proposes a novel prediction model where the optimal correlated prediction for a set of pixels is obtained in the sense of the least code length. It not only exploits the spatial statistical correlations for the optimal prediction directly based on 2D contexts, but also formulates the data-driven structural interdependencies to make the prediction error coherent with the underlying probability distribution for coding. Under the joint constraints for local coherence, max-margin Markov networks are incorporated to combine support vector machines structurally to make max-margin estimation for a correlated region. Specifically, it aims to produce multiple predictions in the blocks with the model parameters learned in such a way that the distinction between the actual pixel and all possible estimations is maximized. It is proved that, with the growth of sample size, the prediction error is asymptotically upper bounded by the training error under the decomposable loss function. Incorporated into the lossless image coding framework, the proposed model outperforms most prediction schemes reported.
Sponsorship	IEEE Signal Processing Society
Starting Page	541
Ending Page	554
Page Count	14
File Size	7172884
File Format	PDF
ISSN	10577149
Volume Number	23
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Predictive models Markov random fields Training Context Vectors Image coding Junctions discriminative model Structured set prediction max-margin Markov networks lossless image coding
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Software

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